Nuclear reaction and structure data services of the National Nuclear Data Center

2006 ◽  
Vol 33 (4) ◽  
pp. 390-399 ◽  
Author(s):  
B. Pritychenko ◽  
A.A. Sonzogni ◽  
D.F. Winchell ◽  
V.V. Zerkin ◽  
R. Arcilla ◽  
...  
2020 ◽  
Vol 239 ◽  
pp. 09003
Author(s):  
B. Pritychenko ◽  
O. Schwerer ◽  
J. Totans ◽  
V. Zerkin ◽  
O. Gritzay

Nuclear data collection, evaluation and dissemination activities have been performed worldwide for many years. They are absolutely essential for the overall progress of science and technology to create the complete collections of experimental data sets and associated publications, and store these data in publicly accessible databases. Due to many historical and technological reasons not all published data have been identified and compiled. These "missing data" manifest themselves via scientific publications, data evaluations and nuclear databases comparisons. The detailed analysis of the Nuclear Science References (NSR) and the Experimental Nuclear Reaction (EXFOR) databases shows thousands of previously missed nuclear reaction experiments and creates a roadmap for the creation of complete data records for fission cross sections, yields and covariances. The National Nuclear Data Center (NNDC) program for identification, compilation and storage of missing fission yields data sets is described, and recommendations for improving the databases completeness are given.


2010 ◽  
Author(s):  
Boris Pritychenko ◽  
M.W. Herman ◽  
S.F. Mughabghab ◽  
P. Oblozinsky ◽  
A.A. Sonzogni

2007 ◽  
Author(s):  
A. A. Sonzogni ◽  
T. W. Burrows ◽  
B. Pritychenko ◽  
J. K. Tuli ◽  
D. F. Winchell

2020 ◽  
Vol 239 ◽  
pp. 11001
Author(s):  
M. Herman ◽  
D.A. Brown ◽  
M.B. Chadwick ◽  
W. Haeck ◽  
T. Kawano ◽  
...  

A new paradigm for nuclear reaction data evaluations is proposed to produce adjusted libraries that take into account integral experiments on the same footing as the differential ones. These evaluations will provide comprehensive covariance matrices including cross-correlations among different materials/reactions that are critical for realistic propagation of data uncertainties to integral quantities. The new approach should also reduce error compensation issues and facilitate updating of the library to account for new or corrected experiments and advances in reaction modeling.


2002 ◽  
Vol 39 (sup2) ◽  
pp. 1458-1463 ◽  
Author(s):  
Victoria Mclane ◽  
Mark Kellett ◽  
Otto Schwerer ◽  
Stanislav Maev

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